Literature DB >> 12450328

On the processes underlying stimulus-familiarity effects in recognition of words and nonwords.

W K Estes1, W Todd Maddox.   

Abstract

The authors investigated the recognizability of recently studied word and nonword stimuli in relation to both experimentally controlled prior frequency of occurrence and, for words, normative frequency (assessed by counts of occurrences in printed English). The interaction between these variables was small and nonsignificant across all conditions of 2 experiments. Patterns of recognition measures in relation to controlled prior frequency, but not normative frequency, appeared interpretable in terms of response biases generated by long-term priming. Application of a global memory model and analyses of correlations among item categories yielded evidence for a lexicality dimension underlying normative-frequency effects and an implication that "word-frequency effects" on recognition are better termed lexicality effects.

Mesh:

Year:  2002        PMID: 12450328

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  8 in total

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2.  Development of Dual-Retrieval Processes in Recall: Learning, Forgetting, and Reminiscence.

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4.  Recursive reminding: effects of repetition, printed frequency, connectivity, and set size on recognition and judgments of frequency.

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Journal:  Mem Cognit       Date:  2006-03

5.  Word frequency and word likeness mirror effects in episodic recognition memory.

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Journal:  Mem Cognit       Date:  2006-06

6.  Parametric effects of word frequency in memory for mixed frequency lists.

Authors:  Lynn J Lohnas; Michael J Kahana
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2013-07-08       Impact factor: 3.051

7.  Overdistribution illusions: Categorical judgments produce them, confidence ratings reduce them.

Authors:  C J Brainerd; K Nakamura; V F Reyna; R E Holliday
Journal:  J Exp Psychol Gen       Date:  2017-01

8.  Risks of drawing inferences about cognitive processes from model fits to individual versus average performance.

Authors:  W K Estes; W Todd Maddox
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  8 in total

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